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DOI10.5194/acp-18-1763-2018
Estimating precipitation susceptibility in warm marine clouds using multi-sensor aerosol and cloud products from A-Train satellites
Bai, Heming1; 39;Ecuyer, Tristan2
2018-02-07
发表期刊ATMOSPHERIC CHEMISTRY AND PHYSICS
ISSN1680-7316
EISSN1680-7324
出版年2018
卷号18期号:3页码:1763-1783
文章类型Article
语种英语
国家Peoples R China; USA
英文摘要

Precipitation susceptibility to aerosol perturbation plays a key role in understanding aerosol-cloud interactions and constraining aerosol indirect effects. However, large discrepancies exist in the previous satellite estimates of precipitation susceptibility. In this paper, multi-sensor aerosol and cloud products, including those from the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO), CloudSat, Moderate Resolution Imaging Spectroradiometer (MODIS), and Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSRE) from June 2006 to April 2011 are analyzed to estimate precipitation frequency susceptibility S-POP, precipitation intensity susceptibility S-I, and precipitation rate susceptibility S-R in warm marine clouds. We find that S-POP strongly depends on atmospheric stability, with larger values under more stable environments. Our results show that precipitation susceptibility for drizzle (with a -15 dBZ rainfall threshold) is significantly different than that for rain (with a 0 dBZ rainfall threshold). Onset of drizzle is not as readily suppressed in warm clouds as rainfall while precipitation intensity susceptibility is generally smaller for rain than for drizzle. We find that S-POP derived with respect to aerosol index (AI) is about one-third of S-POP derived with respect to cloud droplet number concentration (CDNC). Overall, S-POP demonstrates relatively robust features throughout independent liquid water path (LWP) products and diverse rain products. In contrast, the behaviors of S-I and S-R are subject to LWP or rain products used to derive them. Recommendations are further made for how to better use these metrics to quantify aerosol-cloud-precipitation interactions in observations and models.


领域地球科学
收录类别SCI-E
WOS记录号WOS:000424327800001
WOS关键词PHASE CLOUDS ; CALIPSO ; RETRIEVAL ; LIQUID ; RAIN ; STRATOCUMULUS ; ALGORITHMS ; FREQUENCY ; EXAMPLES ; DRIZZLE
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/29471
专题地球科学
作者单位1.Nanjing Univ, Inst Climate & Global Change Res, Nanjing, Jiangsu, Peoples R China;
2.Nanjing Univ, Sch Atmospher Sci, Nanjing, Jiangsu, Peoples R China;
3.Collaborat Innovat Ctr Climate Change, Nanjing, Jiangsu, Peoples R China;
4.Chinese Acad Sci, Inst Atmospher Phys, Beijing, Peoples R China;
5.Univ Maryland Baltimore Cty, Phys Dept, Baltimore, MD 21228 USA;
6.Univ Wisconsin, Dept Atmospher & Ocean Sci, Madison, WI USA
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Bai, Heming,39;Ecuyer, Tristan. Estimating precipitation susceptibility in warm marine clouds using multi-sensor aerosol and cloud products from A-Train satellites[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2018,18(3):1763-1783.
APA Bai, Heming,&39;Ecuyer, Tristan.(2018).Estimating precipitation susceptibility in warm marine clouds using multi-sensor aerosol and cloud products from A-Train satellites.ATMOSPHERIC CHEMISTRY AND PHYSICS,18(3),1763-1783.
MLA Bai, Heming,et al."Estimating precipitation susceptibility in warm marine clouds using multi-sensor aerosol and cloud products from A-Train satellites".ATMOSPHERIC CHEMISTRY AND PHYSICS 18.3(2018):1763-1783.
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